Gamma-Regression-Based Inverse Reinforcement Learning From Suboptimal Demonstrations

Inverse reinforcement learning (IRL) is a technique that estimates the intention of an expert who acts optimally on a specific intention, as a reward from demonstration (i.e., recorded data of the expert’s behavior). Traditional IRL algorithms are based on the assumption that expert demonstra...

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Autors principals:	Daiko Kishikawa, Sachiyo Arai
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Gamma divergence inverse reinforcement learning learning from demonstration suboptimal demonstration
Accés en línia:	https://ieeexplore.ieee.org/document/10669006/
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